Gianna Nossa1, Antonia Susnjar2, Meden Isaac-Lam3, and Ulrike Dydak1
1Purdue University, West Lafayette, IN, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 3Purdue University Northwest, Hammond, IN, United States
Synopsis
Keywords: Psychiatric Disorders, Brain, Post-traumatic Stress Disorder
Motivation: Neurochemical alterations in PTSD are well-researched across various brain regions, yet understanding their connection to symptoms remains unexplored.
Goal(s): Our aim was to determine the association between the neurochemical profile and emotional/cognitive symptoms in diagnosed PTSD individuals and healthy controls.
Approach: Participants underwent an MRS scan and CNS Vital Signs survey. Correlations between metabolites and survey scores were examined.
Results: We found significant differences across several PTSD symptoms, for which the severity correlated with metabolite levels alterations in the ACC and hippocampus.
Impact: By understanding correlation between neurochemical alternations and
clinical symptom severity, this study provides
valuable insights into the pathways of PTSD. It paves the way for innovative
approaches in managing neurological disorders.
Introduction
Post-traumatic stress disorder (PTSD) includes
persistent emotional response to traumatic stimuli in environments where a
threat is no longer present. Exposure to strong stressors can trigger chronic
disruption to motor, emotional, and cognitive function. Clinically, PTSD manifests in four clusters of
symptoms: flashbacks, avoidance of stimuli associated with the trauma, mood
changes, hyperactivity and hyperarousal that persist when no direct threat is
present. Long-term effects include residual psychological and cognitive
impairment, substance abuse, and suicide risk.1 Because exposure to trauma does not
always lead to PTSD, it is important to understand what happens in the brain
physiology.1 Neuroimaging studies have reported
structural and functional changes in the anterior cingulate cortex (ACC),
hippocampus, amygdala, and insula of patients with PTSD.2–6 Certain brain regions are closely related to
the underlying PTSD symptoms, including anterior cingulate cortex (ACC) which registers
physical pain and emotional awareness, while the hippocampus (hippo) regulates
memory consolidation.2,7 We have previously found significant
differences in multiple metabolites, including glutamate-glutamine (Glx),
creatine (Cr), choline (tCho), gamma-aminobutyric acid (GABA), and glutathione
(GSH) across these brain regions of interest.[abstract #179, ISMRM 2023] However
the relationship between these biochemical changes and severity of PTSD
symptoms remains unclear. The purpose of this study is to evaluate the relationship
between the neurochemical profile and emotional and cognitive symptoms of PTSD in
the clinically diagnosed population compared to healthy controls.Methods
Ten
participants diagnosed with PTSD (8 males, 2 females, age: 33.9±8.2) and ten
healthy age and gender matched controls (8 males, 2 females, age: 33.5±8.5)
underwent a brain scan on a 3T Siemens MAGNETOM Prisma MRI scanner using a 64-channel
receiver head coil. Two brain regions (ACC, hippo) have been investigated using
edited and unedited MRS. Unedited MRS was obtained using Point RESolved
Spectroscopy (PRESS)8 using TE/TR:30/2000ms, 64 averages, and
VOI:40x25x27mm3. PRESS was chosen to better match the localization
used in edited MRS. Edited MRS was acquired using Hadamard Encoding and
Reconstruction of MEGA-Edited Spectroscopy (HERMES)9 with TE/TR:80/2000ms, 256 averages, and
VOI:40x25x27mm3 (Figure 1). All unedited MRS was processed using Osprey10 and quantified with LCModel,11 while GABA
and GSH, obtained from edited MRS were quantified using Gannet.12 All participants were also administered
a CNS Vital Signs13 questionnaire to assess psychological
and cognitive severity of PTSD symptoms. The following tests were included:
Verbal Memory, Visual Memory, Reaction Time, Alcohol Use Disorders Id Test,
Depression, Anxiety, Stress, Drug Use, Epworth Sleepiness Scale, Fatigue,
Emotional Wellbeing, Social Functioning, and Pain. Group differences were
determined with unpaired t-Test of equal variance. Spearman correlations, with
α=0.05 significance level, were run between CNSVS standard scores and brain metabolites.
All statistical analyses were performed in R-studio.Results
Participants diagnosed with PTSD exhibited
significantly higher depression, anxiety, and stress scores, coupled with lower
scores for fatigue, emotional wellness, social functioning, and pain (Figure 2). Notably, in the ACC, significant correlations emerged between GABA and
depression (p=0.007), sleep (p=0.03), and fatigue (p=0.002), as well as between
GSH and pain (p=0.03) among those with diagnosed PTSD, as shown in Figure 3.
Conversely, the control group exhibited only one significant
correlation—between ACC GABA and social functioning (p=0.04). In the hippo of
participants with PTSD, GSH exhibited negative correlations with fatigue
(p=0.009), while sleep correlated positively with tNAA (p=0.001), tCr (p=0.01),
and Glx (p=0.04). Surprisingly, in the control group's hippo, GSH positively
correlated with depression (p=0.003), anxiety (p=0.01), stress (p=0.005), and
drug use (p=0.004), as illustrated in Figure 4.Discussion and Conclusion
We
have demonstrated notable differences in CNS Vital Sign scores between the
control group and the PTSD group. Elevated depression, anxiety, and stress
scores in PTSD indicate heightened symptom severity, while lower scores in
fatigue, emotional wellness, social functioning, and pain indicate
decreased energy levels, poor emotional wellness and willingness to interact in
social setting, and more experienced pain. Negative
correlations between GABA and depression/sleep imply that reduced ACC GABA
associates with heightened depression and sleep issues. Conversely, positive
correlations, such as ACC GABA-fatigue, GSH-pain, tNAA-fatigue, and Ins-sleep,
suggest that increased metabolite levels align with elevated symptoms. Positive
correlations between sleep and hippocampal tNAA, tCho, and Glx indicate that
higher metabolite levels lead to increased sleeplessness. The negative
GSH-fatigue correlation may indicate decreased energy with rising oxidative
stress. Notably, control group correlations, especially GSH with depression,
anxiety, stress, and drug use, reveal that GSH is intricately involved in the
manifestation of such mood symptoms, even if they are transient.Acknowledgements
Purdue
University Northwestern Interdisciplinary Grant; Purdue University Northwestern
Catalyst Grant; NIH S10 OD012336; References
1.
Yehuda R, Hoge CW, Mcfarlane
AC, et al. Post-traumatic stress disorder. Nat Rev Dis Prim.
2015;1(1):1-22. doi:10.1038/nrdp.2015.57
2.
Michels L, Schulte-Vels T,
Schick M, et al. Prefrontal GABA and glutathione imbalance in posttraumatic
stress disorder: Preliminary findings. Psychiatry Res Neuroimaging.
2014;224(3):288-295. doi:10.1016/J.PSCYCHRESNS.2014.09.007
3.
Meyerhoff DJ, Mon A, Metzler T,
Neylan TC. Cortical Gamma-Aminobutyric Acid and Glutamate in Posttraumatic
Stress Disorder and Their Relationships to Self-Reported Sleep Quality. Sleep.
2014;37(5):893. doi:10.5665/SLEEP.3654
4.
Rosso IM, Weiner MR, Crowley
DJ, Silveri MM, Rauch SL, Jensen JE. Insula and anterior cingulate GABA levels
in post-traumatic stress disorder: Preliminary findings using magnetic
resonance spectroscopy. Depress Anxiety. 2014;31(2):115.
doi:10.1002/DA.22155
5.
Yan X, Brown AD, Lazar M, et
al. Spontaneous brain activity in combat related PTSD. Neurosci Lett.
2013;547:1-5. doi:10.1016/J.NEULET.2013.04.032
6.
Bromis K, Calem M, Reinders
AATS, Williams SCR, Kempton MJ. Meta-Analysis of 89 Structural MRI Studies in
Posttraumatic Stress Disorder and Comparison With Major Depressive Disorder. Am
J Psychiatry. 2018;175(10):989. doi:10.1176/APPI.AJP.2018.17111199
7.
Wang D, Wang X, Luo MT, Li YH,
Wang H. Gamma-aminobutyric acid levels in the anterior cingulate cortex of
perimenopausal women with depression: A magnetic resonance spectroscopy study. Front
Neurosci. 2019;13(JUL):447833. doi:10.3389/FNINS.2019.00785/BIBTEX
8.
BOTTOMLEY PA. Spatial
Localization in NMR Spectroscopy in Vivo. Ann N Y Acad Sci.
1987;508(1):333-348. doi:10.1111/J.1749-6632.1987.TB32915.X
9.
KL, Puts NAJ, Schär M, Barker
PB, Edden RAE. HERMES: Hadamard Encoding and Reconstruction of MEGA-Edited
Spectroscopy. Magn Reson Med. 2016;76(1):11. doi:10.1002/MRM.26233
10.
Oeltzschner G, Zöllner HJ, Hui
SCN, et al. Osprey: Open-Source Processing, Reconstruction & Estimation of
Magnetic Resonance Spectroscopy Data. J Neurosci Methods.
2020;343:108827. doi:10.1016/J.JNEUMETH.2020.108827
11.
Provencher SW. Automatic
quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed.
2001;14(4):260-264. doi:10.1002/NBM.698
12.
Edden RAE, Puts NAJ, Harris AD,
Barker PB, Evans CJ. Gannet: A Batch-Processing Tool for the Quantitative
Analysis of Gamma-Aminobutyric Acid–Edited MR Spectroscopy Spectra. J Magn
Reson Imaging. 2014;40(6):1445. doi:10.1002/JMRI.24478
13. Gualtieri CT, Johnson LG. Reliability and
validity of a computerized neurocognitive test battery, CNS Vital Signs. Arch
Clin Neuropsychol. 2006;21(7):623-643. doi:10.1016/J.ACN.2006.05.007